How soon in advance can we predict a food shortage? Variables such as market prices, drought, previous regional production, and seasonal variations all play a role in this causal structure learning model to infer the probability a rural inhabitant will encounter difficulty in obtaining food.

Data-Driven Development

The unprecedented volume of data currently being generated in the developing world on human health, movement, communication, and financial transactions provides new opportunities for applying artificial intelligence techniques to development efforts.

AAAI AI-D Symposium

The AAAI AI-D Spring Symposium at Stanford is being organized on March 23-24 at Stanford University to help define this new research area and serve as a focal point to bring together a critical mass of researchers who are interested in applying AI research to development challenges.